ISYE 6501 Midterm 1
Due Mar 9 at 11:30am
Points 100
Questions 45
Available Feb 26 at 12:30pm - Mar 9 at 11:30am
Time Limit 95 Minutes
Instructions
This quiz was locked Mar 9 at 11:30am.
95 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
You may use any of the following resources:
One sheet (both sides) of handwritten (not photocopied, scanned, or printed) notes
If any question seems ambiguous, use the most reasonable interpretation (i.e., don't be like Calvin):
1/29
, If you experience any technical issues (i.e. images not loading) you may refresh the page
without interrupting your exam attempt. If the issue persists, then please finish the exam and
let the Instructors know about the issue in a private Piazza post afterwards.
Good luck!
Question 1
pts
1. For each of the 13 models/methods, select the choice that includes the category of question it is
commonly used for. For models/methods that have more than one correct category, the one it is most
commonly used for; for models/methods that have no correct category listed, select "None".
[ Select ]
i. ARIMA
[ Select ]
ii. CART
iii. Cross validation Validation
[ Select ]
iv. CUSUM
[ Select ]
v. Exponential smoothing
[ Select ]
vi. GARCH
[ Select ]
vii. kmeans
[ Select ]
viii. k-nearest-neighbor
[ Select ]
ix. Linear regression
2/29
, [ Select ]
x. Logistic regression
[ Select ]
xi. Principal component analysis
[ Select ]
xii. Random forest
[ Select ]
xiii. Support vector machine
Answer 1:
Variance estimation
Validation
Classification
None of the other choices
Clustering
Response prediction
Answer 2:
Clustering
Classification and Response prediction
None of the other choices
Validation
Variance estimation
Answer 3:
Clustering
Classification and Response prediction
Variance estimation
Validation
None of the other choices
Answer 4:
Classification and Response prediction
Validation
None of the other choices
Clustering
Variance estimation
Answer 5:
Response prediction
None of the other choices
Validation
Variance estimation
3/29
, Classification
Clustering
Answer 6:
Respnse prediction
None of the other choices
Variance estimation
Validation
Classification
Clustering
Answer 7:
Variance estimation
Validation
Response prediction
Classification
Clustering
None of the other choices
Answer 8:
Classification and Response prediction
Clustering
Validation
Variance estimation
None of the other choices
Answer 9:
Classification
None of the other choices
Validation
Variance estimation
Response prediction
Clustering
Answer 10:
Variance estimation
Clustering
None of the other choices
Validation
Classification and Response prediction
Answer 11:
Classification and Response prediction
Validation
Variance estimation
None of the other choices
Clustering
4/29
Due Mar 9 at 11:30am
Points 100
Questions 45
Available Feb 26 at 12:30pm - Mar 9 at 11:30am
Time Limit 95 Minutes
Instructions
This quiz was locked Mar 9 at 11:30am.
95 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
You may use any of the following resources:
One sheet (both sides) of handwritten (not photocopied, scanned, or printed) notes
If any question seems ambiguous, use the most reasonable interpretation (i.e., don't be like Calvin):
1/29
, If you experience any technical issues (i.e. images not loading) you may refresh the page
without interrupting your exam attempt. If the issue persists, then please finish the exam and
let the Instructors know about the issue in a private Piazza post afterwards.
Good luck!
Question 1
pts
1. For each of the 13 models/methods, select the choice that includes the category of question it is
commonly used for. For models/methods that have more than one correct category, the one it is most
commonly used for; for models/methods that have no correct category listed, select "None".
[ Select ]
i. ARIMA
[ Select ]
ii. CART
iii. Cross validation Validation
[ Select ]
iv. CUSUM
[ Select ]
v. Exponential smoothing
[ Select ]
vi. GARCH
[ Select ]
vii. kmeans
[ Select ]
viii. k-nearest-neighbor
[ Select ]
ix. Linear regression
2/29
, [ Select ]
x. Logistic regression
[ Select ]
xi. Principal component analysis
[ Select ]
xii. Random forest
[ Select ]
xiii. Support vector machine
Answer 1:
Variance estimation
Validation
Classification
None of the other choices
Clustering
Response prediction
Answer 2:
Clustering
Classification and Response prediction
None of the other choices
Validation
Variance estimation
Answer 3:
Clustering
Classification and Response prediction
Variance estimation
Validation
None of the other choices
Answer 4:
Classification and Response prediction
Validation
None of the other choices
Clustering
Variance estimation
Answer 5:
Response prediction
None of the other choices
Validation
Variance estimation
3/29
, Classification
Clustering
Answer 6:
Respnse prediction
None of the other choices
Variance estimation
Validation
Classification
Clustering
Answer 7:
Variance estimation
Validation
Response prediction
Classification
Clustering
None of the other choices
Answer 8:
Classification and Response prediction
Clustering
Validation
Variance estimation
None of the other choices
Answer 9:
Classification
None of the other choices
Validation
Variance estimation
Response prediction
Clustering
Answer 10:
Variance estimation
Clustering
None of the other choices
Validation
Classification and Response prediction
Answer 11:
Classification and Response prediction
Validation
Variance estimation
None of the other choices
Clustering
4/29
